SimpleQuestion dataset for Wikidata

doi:doi:10.57702/0ipu8u9j

SimpleQuestion dataset for Wikidata

The dataset used in this paper is a reinforcement learning dataset, specifically the SimpleQuestion dataset, which contains questions answerable using Wikidata as the knowledge graph, focusing on questions with a single entity and relation.

BibTex:

@dataset{Dennis_Diefenbach_and_Thomas_Tanon_and_Kamal_Singh_and_Pierre_Maret_2024,
    abstract = {The dataset used in this paper is a reinforcement learning dataset, specifically the SimpleQuestion dataset, which contains questions answerable using Wikidata as the knowledge graph, focusing on questions with a single entity and relation.},
    author = {Dennis Diefenbach and Thomas Tanon and Kamal Singh and Pierre Maret},
    doi = {10.57702/0ipu8u9j},
    institution = {No Organization},
    keyword = {'Distributionally Robust Estimator', 'Kernel Methods', 'Kernel Ridge Regression', 'Knowledge Graph', 'Knowledge Graphs', 'Question Answering', 'SimpleQuestion', 'Speaker Recognition', 'Spectral Bias', 'Wasserstein Distance', 'Wikidata', 'adversarial', 'atoms', 'best-k-arm identification', 'causal discovery', 'causal structures', 'classification', 'concentration inequalities', 'dictionary', 'diﬀerential privacy', 'feature learning', 'gradient estimation', 'information-theoretic lower bounds', 'kernelized bandits', 'knowledge graph', 'lifelong learning', 'machine learning', 'multiclass', 'neural networks', 'norm-subGaussian', 'overﬁtting', 'probing schemes', 'question answering', 'random vectors', 'reinforcement learning', 'representation learning', 'robustness', 'signal representation', 'single entity', 'single relation', 'subGaussian', 'transfer learning', 'underﬁtting', 'unsupervised learning', 'wikidata'},
    month = {dec},
    publisher = {TIB},
    title = {SimpleQuestion dataset for Wikidata},
    url = {https://service.tib.eu/ldmservice/dataset/simplequestion-dataset-for-wikidata},
    year = {2024}
}